2318052dc79966bf36675606b7d992a347418292,gluoncv/model_zoo/cifarwideresnet.py,CIFARWideResNet,__init__,#CIFARWideResNet#,100

Before Change

        assert len(layers) == len(channels) - 1
        with self.name_scope():
            self.features = nn.HybridSequential(prefix="")
            self.features.add(nn.BatchNorm(scale=False, center=False))

            self.features.add(nn.Conv2D(channels[0], 3, 1, 1, use_bias=False))
            self.features.add(nn.BatchNorm())

After Change

                                         **({} if norm_kwargs is None else norm_kwargs)))

            self.features.add(nn.Conv2D(channels[0], 3, 1, 1, use_bias=False))
            self.features.add(norm_layer(**({} if norm_kwargs is None else norm_kwargs)))

            in_channels = channels[0]
            for i, num_layer in enumerate(layers):
                stride = 1 if i == 0 else 2

Instances